26 operations-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Harvard University
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large-scale recordings large-scale scientific applications of AI/ML, including in the life sciences Postdoctoral AI Researchers will work closely with Kempner faculty, researchers, and students
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, and multimodal modeling of protein function and cellular state. We seek candidates with strong technical preparation in modern AI/ML, a demonstrated record of scholarly achievement, and experience in
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additional years. The candidate will work closely with Professor Petros Koumoutsakos cse-lab.harvard.edu . Basic Qualifications Doctoral degree. Applicants background may include studies in: Computational
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the position description. ● Work with large, high-dimensional datasets. ● Lead and contribute to manuscripts for high-impact journals (e.g., top Statistics journals and Nature-like journals). ● Present findings
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inference pipelines for health effects and adaptation policy evaluation. Work with large, high-dimensional datasets (Medicare claims, census, weather, pollution, and related data), including data
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for opportunities abroad. These grants present an excellent opportunity for recently minted scholars to deepen their expertise, to acquire new skills, to work with additional resources, and to make connections with
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. Basic Qualifications 1. A Ph.D. in a relevant field 2. Demonstrated record of research achievement. 3. Strong written and oral communication skills. 4. Ability to work independently Additional
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pathways. As part of the application, applicants are asked to submit a short video sharing personal motivation for their work, what draws the applicant to the research problem or question, and why
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utility-facing geospatial toolkit through data science and partnerships with grid operators. Duties and Responsibilities ● Develop a scalable data science pipeline to harmonize and link detailed information
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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high